Level 2 Agentic Capability enables organizations to operationalize
AI agents with proprietary decision intelligence, fostering human-level decision-making through safe and governed orchestration.
.avif)
.avif)
.avif)
.avif)
At Level 2 of the AgilePoint Agentic AI Maturity Model, you move beyond isolated AI experiments to full automation across workflows. The platform enables seamless integration and deployment of AI agents across systems like ERP, CRM, and legacy apps, all unified under an AI Control Tower. Training specialized agents with proprietary business logic ensures accurate alignment with company rules and broader business processes.
Human-in-the-loop governance allows oversight on critical decisions, while repetitive tasks run automatically. Multi-agent orchestration operates across functional silos without code rewrites. That means faster AI rollout, unified execution, and stronger auditability across teams. With this foundation, you build resilient, enterprise-grade AI operations that scale reliably over time.
AI alone doesn't drive value; orchestration does. At Level 2 maturity, AgilePoint provides centralized coordination, control, and governance over multiple AI agents and data sources.
The AI Control Tower grants visibility and policy enforcement at runtime, and agents work together in harmony across silos. Human agents guide critical decision paths. That combination helps avoid AI hallucinations, ensures consistency, and prevents robotic efforts from collapsing under complex processes or fragmented logic.
Orchestrated AI is adaptive — it responds to changing business conditions, external feeds, and compliance updates dynamically. When everything operates under one control plane, AI becomes a strategic engine instead of a point solution.
Reframe automation strategy around agentic orchestration, not just process-based automation. Level 2 maturity lets you treat AI agents as interoperable components, with connections managed through metadata-driven semantic workflows.
Agents can execute decision logic, share context, and adjust in real time, while human intervention only happens when needed. That means workflows evolve fluidly, without brittle scripts or hidden paths.
By embedding orchestration at the core of your roadmap, you ensure that every AI initiative, from generative to predictive, works together, follows governance policies, and contributes to measurable outcomes. This approach turns scattered projects into coherent, high-trust AI deployments across your entire enterprise.
Agentic orchestration coordinates the actions of AI agents, systems, and humans across workflows. It ensures that each part, whether a model, tool, or decision-maker, works in sync under shared business logic. Instead of single-use automation, agentic orchestration delivers intelligent automation with adaptive execution at scale, along with governance, control, and real-time visibility across your enterprise.
Traditional automation runs predefined tasks step by step. Agentic orchestration adapts dynamically, using AI agents to make decisions, collaborate, and adjust flows in real time. It’s not just about operational efficiency — it’s about intelligence and adaptability. This approach enables continuous evolution, especially in complex or high-change environments where static workflows fall short and complex tasks demand adaptability.
Process orchestration coordinates structured steps across systems. Agentic orchestration adds intelligence — AI agents make context-aware decisions, evolve with data, and collaborate autonomously. It’s not limited to predefined paths. This shift will optimize workflows to learn, adapt, and operate in dynamic business conditions while still aligning with policy, governance, and audit requirements.
Agentic orchestration delivers flexibility, visibility, and smarter execution. You get workflows that adapt as conditions change, reduce manual intervention, and scale faster. It improves governance without slowing down innovation. Businesses gain better use of AI, higher accuracy, fewer errors, and workflows that learn over time without needing constant redevelopment or oversight.
Industries use it for underwriting, claims, lab management, patient onboarding, vendor audits, supply chain management, and field service optimization. Anywhere AI agents, people, and systems must collaborate, agentic orchestration improves execution. It’s especially powerful in regulated industries like healthcare, insurance, and life sciences, where control, adaptability, and compliance all matter at once.
It solves coordination breakdowns, governance gaps, and AI sprawl. Without orchestration, AI tools operate in silos and can’t scale safely. Agentic orchestration brings visibility, control, and policy enforcement to workflows involving multiple agents or systems. It reduces errors, supports oversight, and keeps automation aligned with evolving business and compliance needs. That’s how agentic orchestration turns AI chaos into coordinated, reliable execution.
.avif)